Tag: Amazon Transcribe

Turning large amounts of raw data into insights has been cited as one of the most challenging problems by executives. Learn how OpenText InfoArchive on AWS can help you take control of your “business complete data,” which refers to data that is no longer changing and needs to be kept for compliance purposes. When deployed on AWS, customers have access to serverless technologies to integrate their existing data-generating systems while enriching data with AI/ML-powered insights along the way.

Traditional content process workflows are expensive and complex to enhance with artificial intelligence and machine learning technologies. Kablamo’s Digital Asset Management (DAM) solution on AWS leverages leading AI/ML services to enable customers to secure, index, cold-store, and access digital assets across the enterprise. Learn how Kablamo DAM is right-sized for all customer industries and integrates into existing workflows with ease.

Cloud-based contact centers that leverage AI for enhancing the customer experience are gaining wide acceptance. TCS RemacX is an AI-powered CX collaboration space that extends Amazon Connect’s out-of-the box capabilities. It provides ways for customers to get insurance quotes, for example, and assists customer with FAQs using Amazon Lex. It also supports proactive customer communication like automated reminders for payments due using Amazon Pinpoint, and video calling using Amazon Chime.

In the post-pandemic era, however, consumers are increasingly less likely to interact with agents in traditional ways. By following the creed of “intuition engineered” while partnering with Unqork and AWS, Cognizant developed a new consumer interaction model to life. Learn how the Cognizant eApp Collaboration Solution, built on Unqork’s codeless development platform using AWS serverless architecture, brings increased engagement and productivity to the virtual new business experience.

Engage360, built by Persistent Systems and powered by Amazon Kendra, is a security-certified app on Salesforce AppExchange that lets you provide machine learning-powered search and recommendations right inside Salesforce Sales Cloud, Salesforce Service Cloud, and Salesforce Financial Services Cloud. It transforms how Salesforce users securely discover, access, and deliver relevant knowledge distributed across disparate enterprise information silos and content formats.

Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.

A digital journey is of strategic importance for many organizations, and digital transformation enabled by cloud technologies has increased efficiency and raised productivity with improved stakeholder experiences. To achieve these outcomes, transformation initiatives need to be holistic, interlinked, and inclusive. Learn how to supercharge customer experiences and make your contact center future-ready by leveraging HCLTech’s Fluid Contact Center Intelligence (Fluid CCI) and AWS AI/ML services.

Some contact center platforms don’t offer native integrations with AWS AI/ML services. Consequently, customers must learn to live with a “just enough” contact center until their license agreements expire, look for other options beyond AWS, or wait for the platform provider to build the integrations in future releases. Learn how Universal Speech Solutions (also known as Unispeech) created AWS AI/ML plugins that enable the non-native integrations.

Today’s global marketplace relies heavily on contact centers for streamlining, maintaining, and maximizing customer service and sales at scale. Explore the role of machine learning solutions in transforming contact centers and the key aspects of Quantiphi’s contact center intelligence (CCI) solution built on AWS. Learn how it helped a U.S.-based consumer healthcare organization address contact center challenges by using custom artificial intelligence and ML techniques.

Servion started collaborating with AWS on hosting custom applications built for contact center customers. This helped Servion acquire knowledge of AWS services related to security, administration, load balancing, database, and networking. Learn how to build differential and personalized experiences using Amazon Connect contact flows, AWS Contact Center Intelligence (CCI) services, and ServDesk agent widgets.